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https://github.com/khoj-ai/khoj.git
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216acf545f
- Partition configuration for indexing local data based on user accounts - Store indexed data in an underlying postgres db using the `pgvector` extension - Add migrations for all relevant user data and embeddings generation. Very little performance optimization has been done for the lookup time - Apply filters using SQL queries - Start removing many server-level configuration settings - Configure GitHub test actions to run during any PR. Update the test action to run in a containerized environment with a DB. - Update the Docker image and docker-compose.yml to work with the new application design
27 lines
758 B
Docker
27 lines
758 B
Docker
# syntax=docker/dockerfile:1
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FROM ubuntu:jammy
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LABEL org.opencontainers.image.source https://github.com/khoj-ai/khoj
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# Install System Dependencies
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RUN apt update -y && apt -y install python3-pip git
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WORKDIR /app
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# Install Application
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COPY pyproject.toml .
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COPY README.md .
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RUN sed -i 's/dynamic = \["version"\]/version = "0.0.0"/' pyproject.toml && \
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pip install --no-cache-dir .
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# Copy Source Code
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COPY . .
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# Set the PYTHONPATH environment variable in order for it to find the Django app.
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ENV PYTHONPATH=/app/src:$PYTHONPATH
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# Run the Application
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# There are more arguments required for the application to run,
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# but these should be passed in through the docker-compose.yml file.
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ARG PORT
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EXPOSE ${PORT}
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ENTRYPOINT ["python3", "src/khoj/main.py"]
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